After having introduced fuzzy clustering segmentation methods, the paper analyzed the reason why fuzzy clustering segmentation methods performed not very well, and introduced the spacial correlation information and formed a two-dimensional histogram to improve the methods.3.
2．在详细介绍模糊聚类图像分割方法的基础上，对应用模糊聚类算法进行图像分割时效果不理想的原因进行了分析，并引入了图像的空间相关信息，构造二维直方图对其加以改进。
参考来源 - 模糊理论及其在图像分割中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
An efficient segmentation method based upon fuzzy c-means (FCM) clustering principles is proposed. The approach utilizes a pyramid data structure for the hierarchical ana - lysis of color images.
这里提出了一种高效的基于模糊c均值(FCM)聚类的彩色图像分割方法，它利用塔形数据结构对彩色图像进行多层分割。
Fuzzy clustering is an important branch of fuzzy set theory, and is widely applied in image segmentation.
模糊聚类是模糊理论的一个重要的分支，在图像分割中得到广泛应用。
In this paper, the application of suppressed fuzzy clustering algorithm in image segmentation is introduced.
本文给出了模糊聚类算法在图像分割中的应用结果。
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